Object tracking and metrics
Project description
Sparrow Tracky
Sparrow Tracky is a Python package that implements basic object tracking and related metrics. The object tracking algorithm is a simplification of SORT and is designed for prototyping in Python -- not for production. The metrics Multi-Object Detection Accuracy (MODA) and Multi-Object Tracking Accuracy (MOTA) are useful for measuring the quality of box predictions.
Quick Start Example
Installation
pip install -U sparrow-tracky
Measuring MODA on frame boxes
import numpy as np
from sparrow_datums import FrameBoxes, PType
from sparrow_tracky import compute_moda
boxes = FrameBoxes(np.ones((4, 4)), PType.absolute_tlwh)
moda = compute_moda(boxes, boxes + 0.1)
moda
# Expected result
# MODA(false_negatives=0, false_positives=0, n_truth=4)
moda.value
# Expected result
# 1.0
Adding MODA objects
moda + moda
# Expected result
# MODA(false_negatives=0, false_positives=0, n_truth=8)
(moda + moda).value
# Expected result
# 1.0
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for sparrow-tracky-0.4.0.dev1659380679.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e02847a0974f91662196e2d97feb583489ac794303d8cf7e89a378a45d88d795 |
|
MD5 | 50c16af5410c175659fa57e328e514a7 |
|
BLAKE2b-256 | 31ee3f35ef1ae175ae6615087d797269e7fecc35e693c75385f345ca7b12d438 |
Close
Hashes for sparrow_tracky-0.4.0.dev1659380679-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b7a5fc5428efb5dbef777701aae9cdf3f36a8b9533525213e7c6ae6fa652f7e1 |
|
MD5 | f412da511fcbdada8c5475fbdacb484f |
|
BLAKE2b-256 | 03856a0edcbba5e04d94be9645a931989f11d4d277e29b0929c57ee1a7827ce2 |